Brain Connectivity
Published by Mary Ann Liebert
ISSN : 2158-0014 eISSN : 2158-0022
Abbreviation : Brain Connect.
Aims & Scope
Brain Connectivity is an international neuroscience journal dedicated to the publication of original reports and scientific reviews concerned with all aspects of anatomical, functional, and causal connections between distinct units within the central nervous system.
Articles describing the underlying mechanisms and structure behind brain connections will be given priority.
Emphasis will be placed on the following experimental techniques: magnetic resonance imaging (MRI), electroencephalography (EEG), magnetoencephalography (MEG), positron emission tomography (PET), single photon emission computed tomography (SPECT), microscopy, and other new and evolving methods as applied to brain connectivity analysis.
Submission of multimodal examinations and integrations is encouraged.
The journal will consider studies in both human and animal models.
Brain Connectivity is an investigational journal, and research reports are strongly recommended to contain experimental data.
Three article categories will be included: original manuscripts, communications, and review articles.
Several sub-categories under original articles and communications will be considered, including reports of original experimental data, methodological studies, novel data analysis schemes, theoretical data modeling, and descriptions of changes in brain connectivity in health and disease.
Reports of original investigations in the areas of neuroscience, neurology, physics, biophysics, computer science, neuroinformatics, mathematics, chemistry, biochemistry, physiology, developmental biology, genetics, molecular biology, psychiatry, pharmacology, anesthesiology, cell biology, and brain anatomy relevant to the field of brain connectivity will be accepted.
View Aims & ScopeMetrics & Ranking
Impact Factor
| Year | Value |
|---|---|
| 2025 | 2.5 |
| 2024 | 2.40 |
Journal Rank
| Year | Value |
|---|---|
| 2024 | 5758 |
Journal Citation Indicator
| Year | Value |
|---|---|
| 2024 | 545 |
SJR (SCImago Journal Rank)
| Year | Value |
|---|---|
| 2024 | 0.894 |
Quartile
| Year | Value |
|---|---|
| 2024 | Q2 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Neuroscience, designed to support cutting-edge academic discovery.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
-
<i>Conn</i>: A Functional Connectivity Toolbox for Correlated and Anticorrelated Brain Networks
Citation: 4341
Authors: Susan, Alfonso
-
Trouble at Rest: How Correlation Patterns and Group Differences Become Distorted After Global Signal Regression
Citation: 796
Authors: Ziad S., Stephen J., Kevin, Gang, Hang Joon, Alex, Robert W.
-
FMRI Clustering in AFNI: False-Positive Rates Redux
Citation: 703
Authors: Robert W., Gang, Daniel R., Richard C., Paul A.
-
The Ubiquity of Small-World Networks
Citation: 414
Authors: Qawi K., Karen E., Satoru, Jonathan H., Paul J.
-
Electroencephalographic Resting-State Networks: Source Localization of Microstates
Citation: 408
Authors: Anna, Dimitri, William M., Miralena I., Denis, Christoph M.
-
Characterization of Cerebral White Matter Properties Using Quantitative Magnetic Resonance Imaging Stains
Citation: 395
Authors: Andrew L., Samuel A., Alexey A., Nagesh, Ameer Pasha, Pouria, Do P.M., Elizabeth, Aaron S.
-
Functional Magnetic Resonance Imaging Phase Synchronization as a Measure of Dynamic Functional Connectivity
Citation: 308
Authors: Enrico, Juha, Juha M., Iiro P., Mikko